Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Ministral 3 14B is clearly ahead on the aggregate, 55 to 42. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Ministral 3 14B's sharpest advantage is in multimodal & grounded, where it averages 70.5 against 42.1. The single biggest benchmark swing on the page is MMMU-Pro, 70 to 38.
Qwen3 235B 2507 (Reasoning) is the reasoning model in the pair, while Ministral 3 14B is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.
Pick Ministral 3 14B if you want the stronger benchmark profile. Qwen3 235B 2507 (Reasoning) only becomes the better choice if you want the stronger reasoning-first profile.
Ministral 3 14B
48.4
Qwen3 235B 2507 (Reasoning)
45.9
Ministral 3 14B
33
Qwen3 235B 2507 (Reasoning)
22.8
Ministral 3 14B
70.5
Qwen3 235B 2507 (Reasoning)
42.1
Ministral 3 14B
63.6
Qwen3 235B 2507 (Reasoning)
49
Ministral 3 14B
50.1
Qwen3 235B 2507 (Reasoning)
34.1
Ministral 3 14B
80
Qwen3 235B 2507 (Reasoning)
68
Ministral 3 14B
76.8
Qwen3 235B 2507 (Reasoning)
58.8
Ministral 3 14B
69.7
Qwen3 235B 2507 (Reasoning)
48.5
Ministral 3 14B is ahead overall, 55 to 42. The biggest single separator in this matchup is MMMU-Pro, where the scores are 70 and 38.
Ministral 3 14B has the edge for knowledge tasks in this comparison, averaging 50.1 versus 34.1. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for coding in this comparison, averaging 33 versus 22.8. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for math in this comparison, averaging 69.7 versus 48.5. Inside this category, AIME 2025 is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for reasoning in this comparison, averaging 63.6 versus 49. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for agentic tasks in this comparison, averaging 48.4 versus 45.9. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for multimodal and grounded tasks in this comparison, averaging 70.5 versus 42.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for instruction following in this comparison, averaging 80 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for multilingual tasks in this comparison, averaging 76.8 versus 58.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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